Evidence map›Paper›PMID 32522832›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Medical Care Costs Associated with Cancer Survivorship in the United States.

Angela B Mariotto, Lindsey Enewold, Jingxuan Zhao, Christopher A Zeruto, K Robin Yabroff

Registry-linked trialAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07410689 (SAFE.AI), which is not on this map. Cited by 332 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
332citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07410689 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

SAFE.AI: Developing and Testing an AI-based Hybrid Chatbot for Financial Empowerment in Rural Cancer Care

TypeinterventionalSponsorUniversity of UtahRan2026 to 2027Enrolled60ConditionsCancer, Financial ToxicityArmsRule-Based Chatbot, Hybrid Chatbot
3 · Its place in the literature

Who cites it

332 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Effectiveness of eHealth interventions in long-term follow-up care for breast and gynecological cancer survivors: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. From optimistic to overwhelmed: exploring health beliefs and barriers to oral anticancer medication adherence among cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  17. Article
  18. Article
  19. Review
  20. Article

272 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Angela B MariottoDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland. mariotta@mail.nih.gov.
Lindsey EnewoldDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0003-0452-5771
Jingxuan ZhaoSurveillance and Health Services Research, American Cancer Society, Atlanta, Georgia.ORCID 0000-0002-2733-2000
Christopher A ZerutoInformation Management Services, Inc., Calverton, Maryland.
K Robin YabroffSurveillance and Health Services Research, American Cancer Society, Atlanta, Georgia.ORCID 0000-0003-0644-5572

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundThe prevalence of cancer survivorship is increasing. In this study, we provide contemporary population-based estimates and projections of the overall and site-specific cancer-attributable medical care costs in the United States.

methodsWe identified survivors aged ≥65 years diagnosed with cancer between 2000 and 2012 from the Surveillance, Epidemiology, and End Results (SEER)-Medicare database and used 2007 to 2013 claims to estimate costs by cancer site, phases of care, and stage at diagnosis. Annualized average cancer-attributable costs for medical care (Medicare Parts A and B) and oral prescription drugs (Medicare Part D) were estimated by subtracting costs between patients with cancer and matched controls. Costs are reported in 2019 U.S. dollars. We combined phase-specific attributable costs with prevalence projections to estimate national costs from 2015 through 2030.

resultsOverall annualized average costs were highest in the end-of-life-cancer death phase, followed by the initial and continuing phases (medical care: $105,500, $41,800, and $5,300 and oral prescription drugs: $4,200, $1,800, $1,100, respectively). There was considerable variation in costs by cancer site and stage. Overall national costs in 2015 were $183 billion and projected to increase 34% to $246 billion by 2030, based only on population growth.

conclusionsPhase of care cancer-attributable cost estimates by cancer site and stage are key inputs for simulation models and cost-effectiveness analyses. IMPACT: The national cancer-attributed medical care costs in the United States are substantial and projected to increase dramatically by 2030, due to population changes alone, reflecting the rising burden of cancer care among cancer survivors.

Indexed as

AgedCancer SurvivorsHealth Care CostsHumansNeoplasmsUnited States

Identifiers

PMID32522832
PMCPMC9514601

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.